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  <responseDate>2026-05-30T23:00:25Z</responseDate>
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        <identifier>oai:meral.edu.mm:recid/3750</identifier>
        <datestamp>2021-12-13T04:32:01Z</datestamp>
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          <dc:title>Feature Selection For Medical Diagnosis Of Fever</dc:title>
          <dc:creator>Min, War War</dc:creator>
          <dc:description>The system based on feature selection methods ofartificial intelligence (AI). Artificial Intelligencebecomes the major subject. Machine learningtechnology is one of the branches of the AI. Thehuman brain provides inspiration for artificialintelligence researchers. It will react with the humanbehavior understanding and predicting the possibleresults. The symptoms will be accepted. By using thefeature selection method of AI to the acceptedsymptom, the result will be displayed. The result willbe the type of fever for the symptom. It is aim todevelop a computerized diagnosis system for thetypes of fever. The aim of the paper is to develop acomputerized diagnosis system for the types of fever.The facts and figures of the problem-domain expertare gained and converted to decision tree. Thedecision tree is used to determine the types of diseaseby feature selection.</dc:description>
          <dc:date>2009-12-30</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000003750</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/3750</dc:identifier>
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